MLOps Engineer (AI)

TL;DR

MLOps Engineer (AI): Building and maintaining robust models and data pipelines for a proprietary AI-powered market prediction system with an accent on data accuracy, consistency, and system scalability. Focus on designing efficient workflows for model training and inference using distributed computing and containerized architectures.

Location: Tel Aviv, Israel

Company

hirify.global builds responsible AI that transforms market complexity into measurable profit growth through a proprietary Market Model delivering real-time decision intelligence.

What you will do

• Build and maintain scalable models and data pipelines for data science workflows.
• Ensure accuracy, consistency, and efficiency of data used for model training and inference.
• Work with diverse structured and unstructured data sources.
• Create and manage robust, scalable ML systems.
• Collaborate with the technical team to enhance overall capabilities.

Requirements

• BSc or Master's degree in Computer Science, Math, or Engineering.
• At least 5 years of commercial experience in Python.
• At least 3 years of hands-on commercial MLOps experience.
• Experience with pipeline orchestrators like Dagster or Airflow.
• Proficiency with distributed computing systems, Docker, and Kubernetes.
• Fluent in English, both written and spoken.

Nice to have

• Strong understanding of Data Structures and Algorithms.
• Proactive mindset with a focus on suggesting improvements.
• Experience in the aviation industry.